Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails
Differentially Private Stochastic Gradient Descent (DPSGD) is widely utilized to preserve
training data privacy in deep learning, which first clips the gradients to a predefined norm …
training data privacy in deep learning, which first clips the gradients to a predefined norm …
Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
Deep neural networks (DNNs) have a risk of remembering sensitive data from their training
datasets, inadvertently leading to substantial information leakage through privacy attacks …
datasets, inadvertently leading to substantial information leakage through privacy attacks …